Welcome to my digital playground! I'm on a mission to transform data into insights, one algorithm at a time. Think of me as a data scientist who doesn't just crunch numbers - I make them dance! ππ
- Master of Data Science at Indiana University π (Casting spells with a 3.8/4.0 GPA)
- Bachelor of Computer Engineering from University of Pune π₯οΈ (Graduated with a magical 9.16/10 GPA)
- Languages: Python (my primary wand) π, R, SQL, MATLAB
- Machine Learning Incantations:
- Supervised Learning β¨
- Deep Learning π§
- Natural Language Processing π¬
- Cloud Realms: Google Cloud Platform, Microsoft Azure (Where data dreams come true) βοΈ
- Built a multi-modal deep learning model that classifies music genres
- Improved accuracy by 10% (Because why settle for average?)
- Reduced training time by 20% (Efficiency is my middle name)
- Decoded 600+ Reddit comments using NLP magic
- 85% accuracy in sentiment classification
- Uncovered public discourse themes faster than you can say "data insights"
- Reduced model overfitting by 25% (Take that, overfitting!)
- Created Dialogflow bots that cut query resolution time by 40%
- Led workshops training 150+ students in data science and cloud technologies
- π¬ Computer Vision research at Indiana University School of Optometry
- π§© Pushing the boundaries of 3D scene reconstruction
- π€ Making machines see the world like humans do (but better)
- π§ Email: mmanav.3101@gmail.com
- πΌ LinkedIn: manav-mandal
- π± GitHub: mxnxv
Fun Fact: I turn complex data into simple stories, and complicated problems into elegant solutions! π
Disclaimer: May cause spontaneous insights and uncontrollable data enthusiasm πβ¨



